Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/76158
Authors: 
Staub, Kevin E.
Winkelmann, Rainer
Year of Publication: 
2009
Series/Report no.: 
Working Paper, Socioeconomic Institute, University of Zurich 0908
Abstract: 
Applications of zero-inflated count data models have proliferated in empirical economic research. There is a downside to this development, as zero-inflated Poisson or zero-inflated Negative Binomial Maximum Likelihood estimators are not robust to misspecification. In contrast, simple Poisson regression provides consistent parameter estimates even in the presence of excess zeros. The advantages of the Poisson approach are illustrated in a series of Monte Carlo simulations.
Subjects: 
excess zeros
Poisson
overdispersion
negative binomial regression
JEL: 
C12
C25
Document Type: 
Working Paper

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